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AI-Job-Notes is a pragmatic notebook for landing roles in machine learning, computer vision, and related engineering tracks. It assembles study paths, checklists, and interview prep materials, but also covers job-search mechanics—portfolio building, resume patterns, and communication tips. The emphasis is on doing: practicing with project ideas, setting up reproducible experiments, and showcasing results that convey impact. It ties technical study (ML/DL fundamentals) to real hiring signals like problem-solving, code quality, and experiment logging. The repository’s structure encourages progressive preparation—from fundamentals to mock interviews and post-interview retrospectives. It’s designed to reduce uncertainty and decision fatigue during the often lengthy job-hunt cycle.
Features
- End-to-end prep from study plan to interview debriefs
- Templates for resumes, portfolios, and project write-ups
- Curated topic lists across ML, DL, CV, and systems basics
- Practice prompts and project ideas geared to hiring signals
- Checklists for application pipelines and recruiter communication
- Advice on experiment hygiene and reproducibility for interviews
Project Samples
